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Simulation models for evaluation of terminal operations and traffic flow on adjacent road network
(2009)
The goods movement via terminals at ports is a complex operation as it involves use of different modes of transport that includes surface and marine. In this paper, we present three simulation models which can be used to ...
Decentralized Reconfigurable Control for Large-Scale Systems with Application to a Segmented Telescope Test-Bed
(2003)
Designing a decentralized reconfigurable control (DRC) system is considered for large-scale systems. The objective of the DRC system is to achieve performance requirements under normal and sensor failure situations. The ...
Optimization strategies for resilient freight transport and sustainability
(Institute of Electrical and Electronics Engineers Inc., 2014)
A resilient system is one that is able to sustain disruptions by been able to operate close to the optimum or acceptable sub optimum performance by reconfiguring itself to accommodate the disruptions. Resiliency is an ...
Real-Time Control of a Segmented Telescope Test-Bed
(2003)
The control of large segmented telescopes is a challenging one due to the complexity and high order of the system. The high order dynamics lead to high order controllers that require more memory and faster computations for ...
Evaluation of mixed semi-automated/manual traffic
(IEEE, 1998)
The advance in research and development will make the deployment of automated vehicles a reality in the near future. At the initial stage, semi-automated vehicles with the capability to follow each other automatically in ...
On Generalized Stieltjes functions and their approximations
(University of Aegean, 2018)
Determination of shape parameter in RBF approximation
(WIT Press, 2019)
We apply a radial basis function (RBF) collocation method for the approximation of functions in two dimensions. The solution is approximated by a linear combination of radial basis functions. The issue of determining the ...
Normal Approximation for Stochastic Gradient Descent via Non-Asymptotic Rates of Martingale CLT
(Proceedings of Machine Learning Research (PMLR), 2019)
We provide non-asymptotic convergence rates of the Polyak-Ruppert averaged stochastic gradient descent (SGD) to a normal random vector for a class of twice-differentiable test functions. A crucial ...